Acorn application guide
AV Analyser
A spectrogram lets an examiner compare sound frequency and timing with the source recording. This known-input example shows two tones separated by silence, making the measured output easy to check without turning a visual pattern into an authenticity verdict.
Demonstrated on constructed training data
What do the recording's metadata and measured sound patterns show?
Start with
- A generated ten-second mono WAV containing two tones and a known silence.
What you can take away
- An export pack including demonstrated spectrogram and silence-measurement outputs.
View full screenOpen the screenshot and choose “View actual size” to read the records at their original resolution.
A practical starting point
How the workflow fits together.
Review the source metadata and define the feature being measured.
Inspect the generated spectrogram and silence measurements.
Separate a measured gap or pattern from a conclusion that the recording was edited.
Useful next steps
Start with your requirements
Bring a sample question.
Ask us to demonstrate this workflow with suitable public or constructed material. Do not send confidential evidence in an initial enquiry.
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About the screenshots and illustrations
Application screens are selected from the September 2026 Acorn screenshot pack. Captions distinguish native setup views, constructed training records and public-corpus results. They are not private client cases, and a displayed control does not establish that every operation was completed.
Relevant public sources include DeepBlueCLI training event logs and Plaso test data. Check the relevant source terms before redistributing an underlying dataset.
Workspace scenes and sector mascot variants are generated illustrations. They do not show actual police, judicial, military or university deployments or endorsements. The original Squirrel Forensics identity is retained.